Microsoft

AI as tradecraft: How threat actors operationalize AI

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Agent Skills vs RAG : Why Procedural Workflows Are Replacing Long Prompts

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.
Windows Report

Microsoft Brings OpenAI’s GPT-5.4 Agentic Coding Model to GitHub Copilot

OpenAI’s GPT-5.4 is rolling out in GitHub Copilot, bringing stronger reasoning, better coding accuracy, and improved support for complex tasks.

Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
IEEE

A Multitask Learning Aspect-Based Model for Product Defect Detection

Abstract: Product defect detection (PDD) is a critical industrial Big Data application that leverages social media text mining to identify product defects. However, existing PDD approaches face ...
IEEE

Autonomous Deployment of Aerial Base Station Without Network-Side Assistance in Emergency Scenarios Based on Multi-Agent Deep Reinforcement Learning

Abstract: Aerial base station (AeBS) is a promising technology for providing wireless coverage to ground user equipment. Traditional methods of optimizing AeBS networks often rely on pre-known ...